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Volumn 4, Issue 2, 2009, Pages 220-228

WordNet-based text clustering methods: Evaluation and comparative study

Author keywords

Reuter 21578; Similarity; Text clustering; WordNet

Indexed keywords

CLUSTERING METHODS; COMPARATIVE STUDIES; REUTER-21578; REUTERS-21578; SIMILARITY; SIMILARITY MEASURE; TEXT CLUSTERING; TEXT MINING; WORDNET;

EID: 69149110229     PISSN: 18286003     EISSN: 18286011     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (23)
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    • Amine, A., Z. Elberrichi, M. Simonet, L. Bellatreche and M. Malki. SOM-based Clustering of Textual Documents Using WordNet. Book-Chapter (chapter 12) in " Handbook of Research on Text and Web Mining Technologies " (2-volumes) - Edited By: Min Song, Old Dominion University, USA; Yi-Fang Brook Wu, New Jersey Institute of Technology, USA-IGI Group, USA Page(s):189-200. ISBN: 978-1-59904-990-8. 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.